Learn AI-Powered TDD to Ship Faster Without Sacrificing Code Quality
AI coding assistants are revolutionizing software development by helping teams ship faster. But without a disciplined approach, teams churn out poor quality code riddled with technical debt. Any productivity gains quickly disappear as brittle, untested AI-generated code causes a spike in production incidents.
The difference between AI-accelerated success and AI-accelerated disaster lies in combining proven engineering discipline with AI capabilities. Development teams that maintain quality long-term leverage Test-Driven Development (TDD) practices to ensure every line of AI-generated code is intentional, tested, and maintainable.
Are your teams spending more time debugging AI-generated code than building new features?
Our 3-day AI Test-Driven Development workshop teaches developers to maintain quality while maximizing AI acceleration. You’ll learn to prompt AI to follow test-driven development practices, creating code that’s both fast to write and reliable in production. Over 70% of the workshop is hands-on coding where you direct AI to build real applications using these techniques.
Transform How Your Team Builds Software By Learning to:
- Apply TDD discipline with AI assistance: Master the Red-Green-Refactor cycle using AI to write tests and implementation code
- Apply design principles and identify code smells: Learn SOLID principles, clean code practices, and refactoring patterns for maintainable architecture
- Guide AI through structured development: Learn effective prompting techniques to direct AI assistants through complete development workflows
- Build comprehensive test suites at machine speed: Use AI to generate unit, integration, and system tests that actually catch bugs
- Maintain code quality while accelerating delivery: Ship faster without accumulating the technical debt that eventually slows teams down
- Create maintainable, well-architected applications: Leverage AI while preserving clean code principles and architectural integrity
It’s time to stop choosing between speed and quality!
Common AI Development Failures
As AI coding assistants become standard tools, teams struggle to achieve sustainable development:
- Technical Debt Accumulation :Teams generate code 2-3x faster with AI but create brittle, untested implementations that require extensive rework. Developers spend more time fixing bugs than building features.
- False Productivity Gains: Organizations measure AI success by lines of code generated, missing that much of this code lacks tests, violates design principles, or doesn’t actually solve customer problems. Initial perceived gains disappear when quality issues surface.
- Lost Engineering Discipline: Developers rely on AI to write code without tests, abandoning proven practices like TDD. The result: applications that appear to work initially but fail unpredictably in production, damaging customer trust and requiring emergency fixes.
- Competitive Disadvantage: While your team debates AI safety and governance, competitors who’ve mastered disciplined AI development ship reliable features weekly, capturing market share with both speed AND quality.
Why This AI-TDD Training Works
Our Building Quality Products AI-TDD workshop addresses these failures by teaching Test-Driven Development practices specifically adapted for AI coding assistants. Developers learn to maintain engineering discipline while maximizing AI acceleration. Unlike generic AI coding tutorials or traditional TDD courses, this intensive program delivers practical techniques teams can apply immediately to ship faster without compromising quality.
The workshop focuses on the critical skill: effectively prompting AI to follow TDD discipline rather than just generate code. Participants learn to guide AI through proper test-driven development, creating applications that are both fast to build and reliable in production.
AI-TDD Frameworks & Tools You’ll Master
Participants gain hands-on experience with AI-powered development practices enhanced by modern tools:
Core AI-TDD Practices:
AI-Powered Test-First Development
- Red-Green-Refactor cycle with AI assistance
- Prompting AI to write failing tests before implementation
- Guiding AI to write minimal passing code
- Using AI for test-driven refactoring
Design Principles & Code Quality with AI
- SOLID and clean code principles
- Code smells to avoid
- Prompting AI for design improvements and using AI to identify code smells
- AI-assisted refactoring while maintaining green tests
Multi-Level AI Testing
- Unit Testing: AI-generated test cases, edge cases, and mock objects
- Integration Testing: Database and API integration tests via AI prompting
- System Testing: End-to-end scenarios and user journey automation with AI assistance
- Acceptance Testing: AI-generated executable specifications from requirements using BDD
Is This AI-TDD Workshop Right for You?
This transformative experience is designed for developers ready to revolutionize their development process while maintaining engineering excellence.
You’ll gain maximum value if you are:
- Software Developers seeking to leverage AI tools without sacrificing code quality or accumulating technical debt
- Test Automation Engineers wanting to accelerate test creation while maintaining comprehensive coverage and reliability
- Tech Leads responsible for establishing AI development standards and ensuring teams don’t compromise quality
- Engineering Managers building scalable, quality-focused development practices for AI-augmented teams
- Quality Assurance Professionals transitioning to test-driven approaches accelerated by AI capabilities
- Senior Developers mentoring teams on modern development practices that combine AI acceleration with engineering discipline
- Technical Coaches helping development teams adopt AI tools responsibly and effectively
Whether you’ve never used AI coding assistants or use them daily, this workshop teaches you to maintain quality while maximizing AI acceleration.
Prerequisites:
- Willingness to participate in hands-on coding exercises
- At least 1 year of programming experience in any language
- Laptop with IDE installed (VS Code, IntelliJ, etc.)
- Access to GitHub Copilot, ChatGPT, Claude, or similar
Workshop Agenda: 3-Day AI Test-Driven Development Immersion
Over three intensive days, participants progress through a carefully structured learning journey designed to systematically develop AI-powered TDD capabilities. Our hands-on workshop combines live coding exercises, pair programming, and collaborative problem-solving to ensure participants can immediately apply their newly acquired skills.
70%+ of workshop time is spent actively coding with AI assistance.
Detailed 3-Day Agenda
Day 1: AI-TDD Foundations & Unit Testing
Morning: Test-Driven Development Fundamentals
- Test-Driven Development principles: Why tests-driven development creates better code
- The Red-Green-Refactor cycle: Systematic approach to quality design and development
- Your first TDD cycle: Writing a failing test, making it pass, then refactoring (hands-on)
- Unit testing best practices: What makes tests valuable vs. brittle
- Test anatomy: Arrange-Act-Assert pattern and test naming conventions
- Hands-on exercise: Start building our sample app using traditional TDD (90 minutes of coding)
Afternoon: Introducing AI to Your TDD Workflow
- AI coding assistants overview: Capabilities, limitations, and effective use cases
- Effective prompting techniques: How to get AI to write the tests and code you actually need
- Your first AI-TDD cycle: Guiding AI to write failing tests, then implementation
- Prompting AI to write comprehensive test cases covering edge cases and error conditions
- Test doubles and mocking: Using AI to generate stubs, mocks, and fakes
- Parameterized tests: Having AI create data-driven test variations
- Hands-on exercise: Building a complete module using AI-TDD (2+ hours of coding)
Day 2: Design Principles, Code Quality & Integration Testing
Morning: Design Principles & Code Smells with AI
- SOLID design principles and clean code principles
- Common code smells and anti-patterns
- Prompting AI for design improvements
- Using AI to identify code smells and suggest refactorings
- AI-assisted refactoring: Improving design while maintaining green tests
- Hands-on exercise: Refactoring legacy code with AI assistance while adding tests (90 minutes)
Afternoon: AI-Driven Integration Testing
- Integration testing strategies: Testing components working together
- Database integration tests: Using AI to set up test data and verify persistence
- API integration tests: Prompting AI to test external service interactions
- Test containers and fixtures: AI-assisted test environment setup
- Testing across boundaries: Files, databases, external services
- Hands-on exercise: Building a data access layer with AI-generated integration tests (2+ hours)
Day 3: System Testing, BDD & Advanced Practices
Morning: AI-Enhanced System & End-to-End Testing
- System testing approaches: Validating complete application workflows
- End-to-end test scenarios: Using AI to script user journeys
- UI testing with AI: Generating automated browser tests and visual validations
- Test coverage analysis: Finding gaps and generating missing tests with AI
- Hands-on exercise: Creating a full application feature with complete test coverage (2+ hours)
Afternoon: Acceptance Testing, BDD & Team Adoption
- Acceptance criteria as executable tests: Bridging requirements and implementation
- Behavior-Driven Development (BDD): Given-When-Then scenarios with AI
- Prompting AI to transform user stories into test specifications
- Living documentation: Tests that serve as up-to-date system documentation
- Team adoption strategies: Integrating AI-TDD into your workflow and CI/CD pipeline
- Final hands-on project: Building a complete feature using AI-TDD best practices (2+ hours)
What’s Included In Your AI Development Training
Immersive Learning Experience
- 3-day expert-led intensive training with small class sizes (max 16 participants for personalized attention)
- 70%+ hands-on coding time: This is not a lecture; you’ll be actively building software with AI assistance
- Real-world exercises using production-quality scenarios across multiple testing levels
- Pair programming sessions to learn from instructor and peers in real-time
- Multiple programming languages supported: Bring your preferred language/framework
Comprehensive Resource Toolkit
- AI Prompting Library: Pre-built prompts for tests, mocks, refactoring, and common development tasks
- TDD Cheat Sheets: Quick reference guides for Red-Green-Refactor cycle and testing patterns
- Course workbook with exercises, examples, and reference materials
- Code repositories with complete examples from workshop exercises
Ongoing Support and Development
- Optional post-workshop 1-on-1 coaching session to address specific challenges in your codebase
- Access to exclusive video resource library with advanced topics and updates
- Private community access to connect with other AI-TDD practitioners
Professional Recognition
- 21 Project Management Institute Professional Development Units (PDUs)
- 21 Scrum Alliance Scrum Educational Units (SEUs)
- Certificate of Completion demonstrating AI-TDD competency
Quality Guarantee
- 100% money-back guarantee if not satisfied by end of day 1
- Flexible scheduling policy: Cancel or reschedule with no penalty
Meet Your Expert Workshop Leader
Fadi Stephan: Technology Executive and AI Development Advocate
Fadi Stephan brings over 20 years of expertise in building high-quality software and leading engineering teams. His extensive background includes:
- Engineering leadership across product development, architecture, and quality assurance in multiple sectors
- Proven expertise in establishing development practices that scale from startup to enterprise
- TDD practitioner with 15+ years applying test-driven development in production systems
- Training excellence: Certified Scrum Trainer (CST), 1 of only 200 worldwide, teaching technical practices since 2010
- Industry experience spanning fintech, government, hospitality, and SaaS products
- Dual graduate degrees in Computer Science and Management of Information Systems
- Regular speaker at international conferences on agile engineering practices and quality development
What Makes Fadi’s Training Unique:
Real-World Battle Scars: Fadi has built systems serving millions of users and knows what breaks in production. His training reflects hard-won lessons from both successes and failures.
Hands-On Practitioner: Unlike theoretical trainers, Fadi writes code daily using AI assistants and brings current, practical techniques directly from his own workflow.
Quality-First Mindset: With deep expertise in TDD and crafting software, Fadi ensures AI acceleration never comes at the expense of sustainable development practices.
Teaching Excellence: As one of few Certified Scrum Trainers worldwide, Fadi combines technical depth with proven instructional techniques that ensure concepts stick.
What Developers Say About Our Workshops
Corporate Training Options
Transform Your Entire Engineering Organization with Customized Team Training
Build AI-powered development capability across your engineering teams with training designed for your specific technology stack, product challenges, and quality requirements.
Team Training Benefits:
- Customized Content: Training adapted to your programming languages and frameworks
- Volume Pricing: Corporate rates available for teams of 6+ participants
- Flexible Delivery: On-site training at your location or virtual delivery for distributed teams
- Organizational Alignment: Build common AI development practices and prompting conventions across your organization
- Implementation Support: Optional post-workshop coaching to address challenges in your specific codebase
- Reduced External Dependence: Create internal champions who can mentor other developers and reduce reliance on consultants
Corporate Training Process:
- Discovery Call: We assess your team's current development practices, AI tool usage, and quality challenges
- Fit: Ensure workshop content fits your team, technology, and organizational context
- Delivery: Intensive hands-on training with your team
- Follow-up: Implementation support to ensure practices are adopted and delivering results
Our Holistic Approach to Organizational Capability
AI Test-Driven Development provides the technical foundation for maintaining quality while shipping at competitive speed. To maximize this foundation, organizations need strategic product thinking that guides what to build, empowered teams who can make fast decisions, and adaptive organizational structures that enable continuous learning.
Our comprehensive training addresses all four capabilities:
- Building Quality Products Workshop: Technical excellence in AI-powered development (THIS WORKSHOP)
- Building Innovative Products Workshop: Strategic product thinking and customer discovery
- Building High-Performing Teams Workshop: Team empowerment and execution effectiveness
- Building High-Performing Organizations Workshop: Organizational agility and adaptive systems
Ready to transform your engineering organization? Schedule a consultation to explore team training.
Frequently Asked Questions About AI Test-Driven Development Training
Common Questions About Our AI-TDD Building Quality Products Workshop
How can I find out more information?
Did we miss anything? Not sure if this workshop is for you? Want us to send you a quote or an invoice? Feel free to reach out with any additional questions you might have. We are happy to help out.
Who is this workshop best suited for?
This workshop is ideal for developers who want to leverage AI coding assistants while maintaining engineering discipline. Whether you're new to TDD or an experienced practitioner adapting to AI tools, you'll transform how you build software by achieving both speed and quality.
What programming languages does this workshop cover?
The principles taught apply to any programming language. Instructors provide examples in popular languages (JavaScript/TypeScript, Python, Java, C#), and you're encouraged to code in your preferred language during exercises. The focus is on prompting techniques and TDD discipline rather than language-specific syntax.
Do I need prior TDD experience?
No. We teach TDD fundamentals while simultaneously introducing AI assistance. If you're already experienced with TDD, you'll learn how to accelerate your existing practices with AI tools.
Which AI coding assistant should I use?
We recommend GitHub Copilot with Claude.
Is this workshop available virtually or only in-person?
We offer both virtual and in-person delivery options. Virtual sessions maintain the same hands-on, coding-intensive approach using collaborative tools, screen sharing, and breakout rooms for pair programming. Some organizations prefer virtual delivery for broader participation across distributed teams.
Can the workshop be customized for our organization's specific technology stack?
Absolutely. For private workshops, we conduct pre-workshop technical assessments to understand your languages, frameworks, testing tools, and CI/CD pipeline. We customize exercises and examples to match your technology choices and architectural patterns.
How soon can we implement what we learn?
Immediately. The workshop is designed for instant application. You'll write real code using AI-TDD during the workshop, and these exact techniques transfer to your work environment. Many teams report implementing practices in their very next sprint.
Will this slow down our development initially?
Yes. There will be an adjustment period, usually (2-3 sprints, as developers build new habits, gain confidence, and speed with AI assistance. Unlike traditional TDD adoption, AI acceleration helps overcome the initial learning curve.
How do we measure success after the workshop?
Track metrics like: test coverage percentage, production defect rates, time spent on bug fixes vs. new features, developer satisfaction scores, and features delivered over 2-3 months. We provide a measurement framework during the workshop.
Does this work with legacy codebases or only new projects?
The techniques work with any codebase. In fact, AI-TDD is particularly valuable for legacy code. You can use AI to generate characterization tests, then safely refactor with confidence. We include legacy code scenarios in the workshop.
What if my team is skeptical about AI coding tools?
This is common and healthy. The workshop addresses concerns head-on: data privacy, code ownership, skill degradation fears, and quality concerns. We demonstrate how disciplined AI use actually improves skills by handling repetitive work and allowing developers to focus on design and architecture.
Additional Resources & References
This workshop builds upon and delivers practical application and integration of established frameworks and research. For participants who want to explore the foundational concepts in greater depth, these resources provide valuable background:
Workshop Resources
Test-Driven Development: By Example by Kent Beck. Foundational book on TDD principles and practices.
Growing Object-Oriented Software, Guided by Tests by Steve Freeman and Nat Pryce. Guide to TDD in real-world applications.
The Art of Unit Testing by Roy Osherove. Comprehensive guide to writing maintainable tests.
AI Coding Assistants & Best Practices:
GitHub Copilot Documentation provides official guidance on using Copilot effectively.
OpenAI Codex Research explains the AI models powering coding assistants.
Prompt Engineering for Developers is Andrew Ng's course on effective AI prompting.
Software Quality & Craftsmanship:
Clean Code by Robert C. Martin. Principles for writing readable, maintainable code.
Refactoring: Improving the Design of Existing Code by Martin Fowler. Catalog of code improvements.
Working Effectively with Legacy Code by Michael Feathers. Guide to safely modifying existing systems.
Ready to Transform How Your Team Builds Software?
Stop choosing between speed and quality. Master AI Test-Driven Development and achieve both.
The future of software development isn't choosing between AI acceleration and engineering discipline. It's combining them. Organizations that master this combination will build better products faster than their competitors while maintaining the quality that keeps customers loyal.
For Individual Developers:
For Engineering Teams:
Schedule a 15-minute consultation to discuss your team's challenges and ensure this workshop meets your needs.
Transform your development process. Build quality products at AI speed. Register today.